A Multi-source intelligence fusion methodology for early-warning system based on evidential reasoning algorithm

Yang Gui, Quan Pan, Lianmeng Jiao, Feng Yang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This paper describe a method for the fusion of multi-source external intelligence in early-warning system. First, a model of external intelligence expression in quantification is built, then an evidential reasoning (ER) algorithm based multi-source external intelligence fusion model is employed to aggregate every basic probability mass representing the belief degree to which the intelligence supports that the situation is assessed to every evaluation grade. Moreover, a four-main attribute based analytic hierarchy process is proposed to calculate the weight of intelligence. A numerical example is also given to validate the methodology.

Original languageEnglish
Title of host publicationProceedings of the 32nd Chinese Control Conference, CCC 2013
PublisherIEEE Computer Society
Pages4635-4640
Number of pages6
ISBN (Print)9789881563835
StatePublished - 18 Oct 2013
Event32nd Chinese Control Conference, CCC 2013 - Xi'an, China
Duration: 26 Jul 201328 Jul 2013

Publication series

NameChinese Control Conference, CCC
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference32nd Chinese Control Conference, CCC 2013
Country/TerritoryChina
CityXi'an
Period26/07/1328/07/13

Keywords

  • Early Warming
  • Evidential Reasoning(ER)
  • Multi-source Intelligence Fusion

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